SERVICES
Knowledge Search & RAG
A concise overview of Knowledge Search & RAG, how it relates to Conversational Generative AI, key considerations, and conditions to confirm.
Item 1 of 1: Knowledge Search & RAG
Conversational Generative AI
Knowledge Search & RAG
A concise overview of Knowledge Search & RAG, how it relates to Conversational Generative AI, key considerations, and conditions to confirm.
Challenge to examine
For Knowledge Search & RAG, we identify whether the core issue sits with users, workflow, or expression before choosing a solution. The relationship to Conversational Generative AI remains visible so the reasons behind each decision can be reviewed.
Use context
For Knowledge Search & RAG, we distinguish users, decision-makers, and operators and define the information and controls each group needs. The relationship to Conversational Generative AI remains visible so the reasons behind each decision can be reviewed.
Deliverables
For Knowledge Search & RAG, we combine requirements, prototypes, produced assets, and operational guidance around the purpose. The relationship to Conversational Generative AI remains visible so the reasons behind each decision can be reviewed.
Working approach
For Knowledge Search & RAG, we work in stages, testing small and carrying review findings into the next decision. The relationship to Conversational Generative AI remains visible so the reasons behind each decision can be reviewed.
Quality and rights
For Knowledge Search & RAG, human reviewers check sources, rights, accuracy, safety, and accessibility against use-specific criteria. The relationship to Conversational Generative AI remains visible so the reasons behind each decision can be reviewed.